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Ben-Jemaa S, Yahyaoui G, Kdidi S, Najjari A, Lenstra JA, Mastrangelo S, Gaouar SBS, Mwacharo JM, Khorchani T, Yahyaoui MH. Genome-wide scans for signatures of selection in North African sheep reveals differentially selected regions between fat- and thin-tailed breeds. Anim Genet 2025; 56:e13487. [PMID: 39573836 DOI: 10.1111/age.13487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 10/09/2024] [Accepted: 10/11/2024] [Indexed: 12/19/2024]
Abstract
North Africa counts several sheep breeds that can be categorized as fat- and thin-tailed. The former are well adapted to dryland environments. In this study, we used 50K genome-wide single nucleotide polymorphism profiles from 462 animals representing nine fat-tailed and 13 thin-tailed sheep breeds across North Africa to localize genomic regions putatively under differential selective pressures between the two types of breeds. We observed genetic clines from east to west and from north to south. The east-west cline separates the fat- and thin-tailed breeds, with the exception of the fat-tailed Algerian Barbarine, which is closely related to a genetically homogeneous cluster of Moroccan and Algerian thin-tailed breeds. Using a combination of three extended haplotype homozygosity tests, we detected seven candidate regions under divergent selection between fat- and thin-tailed sheep. The strongest selection signals reside on chromosomes 1 and 13, with the latter spanning the BMP2 gene, known to be associated with the fat-tail phenotype. Overall, the candidate regions under selection in fat-tailed sheep overlap with genes associated with adaptation to desert-like environments including adipogenesis, as well as heat and drought tolerance. Our results confirm previously reported candidate genes known to be a target of fat-tail selection in sheep but also reveal novel candidate genes specifically under selection in North African populations.
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Affiliation(s)
- Slim Ben-Jemaa
- Laboratoire Des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Ariana, Tunisia
| | - Ghazi Yahyaoui
- Département de Biologie, Faculté Des Sciences de Tunis, Université Tunis El Manar, Tunis, Tunisia
| | - Samia Kdidi
- Laboratoire d'Elevage et Faune Sauvage, Institut Des Régions Arides, Medenine, Tunisia
| | - Afef Najjari
- Laboratoire de Microbiologie et Biomolécules Actives LR03ES03, Faculté Des Sciences de Tunis, Université Tunis El Manar, Tunis, Tunisia
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Salvatore Mastrangelo
- Dipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Semir B S Gaouar
- Applied Genetic in Agriculture, Ecology and Public Health Laboratory, University of Tlemcen, Tlemcen, Algeria
| | - Joram M Mwacharo
- Small Ruminant Genomics, International Centre for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia
| | - Touhami Khorchani
- Laboratoire d'Elevage et Faune Sauvage, Institut Des Régions Arides, Medenine, Tunisia
| | - Mohamed H Yahyaoui
- Laboratoire d'Elevage et Faune Sauvage, Institut Des Régions Arides, Medenine, Tunisia
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Baazaoui I, Bedhiaf-Romdhani S, Mastrangelo S, Lenstra JA, Da Silva A, Benjelloun B, Ciani E. Refining the genomic profiles of North African sheep breeds through meta-analysis of worldwide genomic SNP data. Front Vet Sci 2024; 11:1339321. [PMID: 38487707 PMCID: PMC10938946 DOI: 10.3389/fvets.2024.1339321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/13/2024] [Indexed: 03/17/2024] Open
Abstract
Introduction The development of reproducible tools for the rapid genotyping of thousands of genetic markers (SNPs) has promoted cross border collaboration in the study of sheep genetic diversity on a global scale. Methods In this study, we collected a comprehensive dataset of 239 African and Eurasian sheep breeds genotyped at 37,638 filtered SNP markers, with the aim of understanding the genetic structure of 22 North African (NA) sheep breeds within a global context. Results and discussion We revealed asubstantial enrichment of the gene pool between the north and south shores of the Mediterranean Sea, which corroborates the importance of the maritime route in the history of livestock. The genetic structure of North African breeds mirrors the differential composition of genetic backgrounds following the breed history. Indeed, Maghrebin sheep stocks constitute a geographically and historically coherent unit with any breed-level genetic distinctness among them due to considerable gene flow. We detected a broad east-west pattern describing the most important trend in NA fat-tailed populations, exhibited by the genetic closeness of Egyptian and Libyan fat-tailed sheep to Middle Eastern breeds rather than Maghrebin ones. A Bayesian FST scan analysis revealed a set of genes with potentially key adaptive roles in lipid metabolism (BMP2, PDGFD VEGFA, TBX15, and WARS2), coat pigmentation (SOX10, PICK1, PDGFRA, MC1R, and MTIF) and horn morphology RXFP2) in Tunisian sheep. The local ancestry method detected a Merino signature in Tunisian Noire de Thibar sheep near the SULF1gene introgressed by Merino's European breeds. This study will contribute to the general picture of worldwide sheep genetic diversity.
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Affiliation(s)
- Imen Baazaoui
- Laboratory of Animal and Fodder Production, National Institute of Agronomic Research of Tunisia, Ariana, Tunisia
| | - Sonia Bedhiaf-Romdhani
- Laboratory of Animal and Fodder Production, National Institute of Agronomic Research of Tunisia, Ariana, Tunisia
| | - Salvatore Mastrangelo
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Anne Da Silva
- Faculté des Sciences et Techniques de Limoges, E2LIM, Limoges, France
| | - Badr Benjelloun
- National Institute of Agronomic Research (INRA Maroc), Regional Centre of Agronomic Research, Beni Mellal, Morocco
| | - Elena Ciani
- Dipartamento Bioscienze, Biotecnologie, Biofarmaceutica, University of Bari Aldo Moro, Bari, Italy
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Moravčíková N, Kasarda R, Židek R, McEwan JC, Brauning R, Landete-Castillejos T, Chonco L, Ciberej J, Pokorádi J. Traces of Human-Mediated Selection in the Gene Pool of Red Deer Populations. Animals (Basel) 2023; 13:2525. [PMID: 37570333 PMCID: PMC10417186 DOI: 10.3390/ani13152525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 07/27/2023] [Accepted: 07/30/2023] [Indexed: 08/13/2023] Open
Abstract
In this study, we analysed the effect of human-mediated selection on the gene pool of wild and farmed red deer populations based on genotyping-by-sequencing data. The farmed red deer sample covered populations spread across seven countries and two continents (France, Germany, Hungary, Latvia, New Zealand, Poland, and Slovakia). The Slovak and Spain wild red deer populations (the latter one in a large game estate) were used as control outgroups. The gene flow intensity, relationship and admixture among populations were tested by the Bayesian approach and discriminant analysis of principal components (DAPC). The highest gene diversity (He = 0.19) and the lowest genomic inbreeding (FHOM = 0.04) found in Slovak wild population confirmed our hypothesis that artificial selection accompanied by bottlenecks has led to the increase in overall genomic homozygosity. The Bayesian approach and DAPC consistently identified three separate genetic groups. As expected, the farmed populations were clustered together, while the Slovak and Spanish populations formed two separate clusters. Identified traces of genetic admixture in the gene pool of farmed populations reflected a strong contemporary migration rate between them. This study suggests that even if the history of deer farming has been shorter than traditional livestock species, it may leave significant traces in the genome structure.
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Affiliation(s)
- Nina Moravčíková
- Faculty of Agrobiology and Food Resources, Slovak University of Agriculture, 949 76 Nitra, Slovakia;
| | - Radovan Kasarda
- Faculty of Agrobiology and Food Resources, Slovak University of Agriculture, 949 76 Nitra, Slovakia;
| | - Radoslav Židek
- Faculty of Agrobiology and Food Resources, Slovak University of Agriculture, 949 76 Nitra, Slovakia;
| | - John Colin McEwan
- AgResearch, Invermay Agricultural Research Centre, Mosgiel 9024, New Zealand; (J.C.M.); (R.B.)
| | - Rudiger Brauning
- AgResearch, Invermay Agricultural Research Centre, Mosgiel 9024, New Zealand; (J.C.M.); (R.B.)
| | - Tomás Landete-Castillejos
- Instituto de Recursos Cinegéticos-Instituto de Desarrollo Regional, University of Castilla-La Mancha, 02071 Albacete, Spain; (T.L.-C.); (L.C.)
| | - Louis Chonco
- Instituto de Recursos Cinegéticos-Instituto de Desarrollo Regional, University of Castilla-La Mancha, 02071 Albacete, Spain; (T.L.-C.); (L.C.)
| | - Juraj Ciberej
- Department of Breeding and Diseases of Game, Fish and Bees, Ecology and Cynology, University of Veterinary Medicine and Pharmacy, 041 81 Košice, Slovakia
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Bedhiaf-Romdhani S, Baazaoui I, Arari E, Lahmar M, Letaief N, Hemdène M, Rekik M, Haile A. Marker-assisted introgression of fecundity mutation into Barbarine sheep breed under low input production system. Trop Anim Health Prod 2023; 55:170. [PMID: 37093295 DOI: 10.1007/s11250-023-03520-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 02/11/2023] [Indexed: 04/25/2023]
Abstract
Fecundity gene introgression has become an economical method to improve sheep prolificacy in developing countries. The FecXBar and FecGH mutations are variants of the BMP15 and GDF9 sheep genes, respectively, identified in Tunisian Barbarine sheep prolific line "W-INRAT," created through a prolificacy-based selection program. The first mutation caused increased prolificacy in heterozygous state and sterility in homozygous ewes. The aim of this work was to increase the number of effective carriers by the introgression of fecundity mutation into non-carrier conventional flocks based on a marker-assisted breeding program. The genotyping was carried out to follow up on the segregation of prolificacy mutation. The conventional ewes, raised in state farms of Tunisia and inseminated by "W-INRAT" rams, yielded 100% carriers females at heterozygous state. These females were selected to be inseminated with conventional rams and produced carriers' lambs with 66.7% males and 33.3% females. The prolific males will be kept in breeding centers to disseminate the fecundity mutation in commercial flocks. This approach facilitates the dissemination of fecundity genes and contributes to livelihood improvement in communities raising Barbarine sheep.
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Affiliation(s)
- Sonia Bedhiaf-Romdhani
- National Agricultural Research Institute of Tunisia, Laboratory of Animal and forage Production, University of Carthage, 1004, Ariana, Tunisia.
| | - Imen Baazaoui
- National Agricultural Research Institute of Tunisia, Laboratory of Animal and forage Production, University of Carthage, 1004, Ariana, Tunisia
| | - Emna Arari
- National Agricultural Research Institute of Tunisia, Laboratory of Animal and forage Production, University of Carthage, 1004, Ariana, Tunisia
- National Agronomic Institute of Tunisia, 43 Avenue Charles Nicolle, 1082, Tunis-Mahrajène, Tunisia
| | - Mustapha Lahmar
- Livestock and Pasture Agency-OEP, Ministry of Agriculture, Water Resources and Fisheries, Tunis, Tunisia
| | - Neyrouz Letaief
- National Agricultural Research Institute of Tunisia, Laboratory of Animal and forage Production, University of Carthage, 1004, Ariana, Tunisia
- National Agronomic Institute of Tunisia, 43 Avenue Charles Nicolle, 1082, Tunis-Mahrajène, Tunisia
| | - Mounir Hemdène
- Livestock and Pasture Agency-OEP, Ministry of Agriculture, Water Resources and Fisheries, Tunis, Tunisia
| | - Mourad Rekik
- International Center for Agricultural Research in the Dry Areas, Amman, Jordan
| | - Aynalem Haile
- International Center for Agricultural Research in the Dry Areas, Addis Ababa, Ethiopia
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